Effective Computational Methods for Solving the Jeffery-Hamel Flow Problem by Majeed A. AL-Jawary, Othman Mahdi Salih

“…The utilization of the base functions converts the nonlinear problem to a nonlinear algebraic system of equations, which is then resolved using the Mathematica®12 program. The development of effective computational methods (D-ECM) has been applied to solve the nonlinear Jeffery-Hamel flow problem, then a comparison between the methods has been shown. …”
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Cerebellar contribution to multisensory integration: A computational modeling exploration by Riccardo Cavadini, Luca Casartelli, Alessandra Pedrocchi, Alberto Antonietti

“…To enhance accessibility and promote broader adoption among researchers, we complemented this framework with a user-friendly web-based interface, eliminating the need for programming expertise. The computational results closely mirror the clinical findings, providing support for the critical contribution of the cerebellum in multisensory integration. …”
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Quantum computational finance for martingale asset pricing in incomplete markets by Patrick Rebentrost, Alessandro Luongo, Bin Cheng, Samuel Bosch, Seth Lloyd

“…We show that the problem can be solved with a variety of quantum techniques such as quantum linear programming and the quantum linear systems algorithm. …”
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Computational Models for Analyzing the Thermodynamic Properties of Linear Triatomic Molecules by Edwin S. Eyube, Abubakar D. Ahmed, Clement A. Onate, Ekwevugbe Omugbe, Etido P. Inyang, Sanda Amasuwa, Ezekiel K. Makama

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Artificial intelligence-driven computational methods for antibody design and optimization by Luiz Felipe Vecchietti, Bryan Nathanael Wijaya, Azamat Armanuly, Begench Hangeldiyev, Hyunkyu Jung, Sooyeon Lee, Meeyoung Cha, Ho Min Kim

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A computational account of joint SSRI and anti-inflammatory treatment by Melissa Reneaux, Melissa Reneaux, Helen Mayberg, Karl Friston, Dimitris A. Pinotsis, Dimitris A. Pinotsis

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Modelling of the Soft Shell Technique Using Computational Fluid Dynamics by Watanabe I, Mukuno H

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Piquasso: A Photonic Quantum Computer Simulation Software Platform by Zoltán Kolarovszki, Tomasz Rybotycki, Péter Rakyta, Ágoston Kaposi, Boldizsár Poór, Szabolcs Jóczik, Dániel T. R. Nagy, Henrik Varga, Kareem H. El-Safty, Gregory Morse, Michał Oszmaniec, Tamás Kozsik, Zoltán Zimborás

“…We introduce the Piquasso quantum programming framework, a full-stack open-source software platform for the simulation and programming of photonic quantum computers. …”
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DETERMINATION OF OXYGEN CONTENT IN COPPER BY MEANS OF COMPUTER ANALYSIS OF IMAGES by A. G. Anisovich, I. N. Rumjantseva, P. N. Misuno

“…The advantages of computer methods of analysis are demonstrated.…”
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The computation of parameters of induction current sensor based on Rogowski coil by O. A. Glukhov, D. O. Glukhov

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Understanding Beliefs, Teachers’ Beliefs and Their Impact on the Use of Computer Technology by Héctor Alejandro Galvis

“…Additional information on models attempting to explain human behavior and the use of computers will be presented as well in order to discuss these research results in light of local efforts made to solve the gap of integrating technology through the Computadores para Educar Program in Colombian public schools.…”
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Mobile Sensor Networks: Theory, Control, Communication, and Computation Issues by V. Cagri Gungor, Kayhan Gulez, Kuniaki Kawabata, Nazif Cihan Taş, Gurkan Tuna

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Rough decision rules extraction and reduction based on granular computing by Hong-can YAN, Feng ZHANG, Bao-xiang LIU

“…Rule mining was an important research content of data mining,and it was also a hot research topic in the fields of decision support system,artificial intelligence,recommendation system,etc,where attribute reduction and minimal rule set extraction were the key links.Most importantly,the efficiency of extraction was determined by its application.The rough set model and granular computing theory were applied to the decision rule reduction.The decision table was granulated by granulation function,the grain of membership and the concept granular set construction algorithm gener-ated the initial concept granular set.Therefore,attribute reduction could be realized by the distinguish operator of concept granule,and decision rules extraction could be achieved by visualization of concept granule lattice.Experimental result shows that the method is easier to be applied to computer programming and it is more efficient and practical than the existing methods.…”
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Resource management in blockchain-enabled heterogeneous edge computing system by Ping ZHANG, Shilin LI, Yiming LIU, Xiaoqi QIN, Xiaodong XU

“…In blockchain-enabled mobile edge computing (BMEC) systems,a new class of blockchain application related computation tasks was introduced to the system.Due to the differences of parallelism among computation tasks,heterogenous computing framework was introduced to suitably split various computation tasks on processors with vastly different processing power to achieve efficient task execution.Under the limited computation and communication resources,a system-wide utility maximization problem by jointly considering heterogeneous processor scheduling,computation and bandwidth resource allocation was formulated as a mixed-integer nonlinear programming problem.To solve the problem efficiently,the formulated problem was transformed into two sub-problems,namely application-driven heterogeneous processor scheduling and joint resource allocation,and a Lagrange-dual based algorithm was proposed.Simulation results show that the proposed scheme can effectively improve the system-wide utility of the BMEC system.…”
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Resource management in blockchain-enabled heterogeneous edge computing system by Ping ZHANG, Shilin LI, Yiming LIU, Xiaoqi QIN, Xiaodong XU

“…In blockchain-enabled mobile edge computing (BMEC) systems,a new class of blockchain application related computation tasks was introduced to the system.Due to the differences of parallelism among computation tasks,heterogenous computing framework was introduced to suitably split various computation tasks on processors with vastly different processing power to achieve efficient task execution.Under the limited computation and communication resources,a system-wide utility maximization problem by jointly considering heterogeneous processor scheduling,computation and bandwidth resource allocation was formulated as a mixed-integer nonlinear programming problem.To solve the problem efficiently,the formulated problem was transformed into two sub-problems,namely application-driven heterogeneous processor scheduling and joint resource allocation,and a Lagrange-dual based algorithm was proposed.Simulation results show that the proposed scheme can effectively improve the system-wide utility of the BMEC system.…”
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Computer Science in Sport – Research and Practice: A book review by Stuart Morgan

“…Keeping pace with new technological innovations requires a thorough and systematic understanding of many diverse topics from computer programming, to database design, machine learning algorithms and sensor technology. …”
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Design of task dividing and offloading algorithm in mobile edge computing by Jing LU, Hanlin LI, Lin GAO

“…Mobile edge computing (MEC) emerges as a new paradigm that pushes the computing infrastructure from the remote cloud data center to the edge equipments.It provides a new solution to meet the delay sensitive and computing intensive requirements of Internet of things (IoT).In this work, the problem of tasks offloading and scheduling in the multi-user and multi-server MEC system was considered.Specifically, each user had a task-dependent application and the tasks could be either executed locally or remotely according to the dependence.Thus, the network performance was improved by unloading and scheduling the sub tasks.Quality of experience (QoE) and fairness between users were used to characterize the network performance, and the optimization problem was modeled as a joint dependent task offloading and scheduling (J-DTOS) problem.The J-DTOS problem was a non-linear mixed integer programming, which was NP-hard in general.The original problem was reformulated by introducing intermediate variables and proposing a near-optimal solution.Simulation results show that the proposed offloading and scheduling design can significantly improve the performance of the system.…”
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The Application of Web-Based Scientific Computing System in Innovation and Entrepreneurship by Tingli Cheng

“…The entire scientific computing system is a typical three-tier architecture, and the small service program is responsible for analyzing the scientific computing request in the request and generating related calculation expressions. …”
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Comprehensive model of MZI-based circuits for photonic computing applications by Andrea Marchisio, Francesco Da Ros, Vittorio Curri, Andrea Carena, Paolo Bardella

“…Finally, we showcase the use of our approach in practical photonic computing scenarios, employing our model to program the MZI control voltages to implement specific logic functions on the reference device.…”
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RETRACTED: Assisting Smart Construction With Reliable Edge Computing Technology by Qiang Yue, Song Mu, Longguan Zhang, Zhun Wang, Zhun Wang, Zhonghua Zhang, Xing Zhang, Yongge Wang, Yongge Wang, Zhuang Miao, Zhuang Miao

“…As a result of these facts, this article suggests the arrangement plan, which depends on the most recent cloud and computer program designing approaches and advances, and gives flexibility, interoperability, and adjustment to construction companies' particular needs.…”
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